Heritability of components of a simple physiological model for yield in groundnut under semiarid rainfed conditions

Ntare, B R and Williams, J H (1998) Heritability of components of a simple physiological model for yield in groundnut under semiarid rainfed conditions. Field Crops Research, 58 (1). pp. 25-33. ISSN 0378-4290

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Use of physiological models has been suggested as a means to improve efficiency of breeding for higher yield. Our objectives were to estimate heritabilities of yield components of groundnut (Arachis hypogaea L.) identified in a yield model [crop growth rate (C), reproductive duration (DR) and partitioning (p)] and determine their predictive value in early generations. Forty bulk populations and nine parental lines were evaluated in replicated trials in 1992 (F2), 1993 (F3) and 1994 (F4) at three contrasting locations in Niger. Physiological components of yield were estimated from final yield and biomass as well as data on ¯owering and maturity. Differences were observed among populations for pod yield and model components. The effects of locations were signi®cant (P<0.01) for C, p and DR in F2 and F3 but nonsigni®cant for yield and C in F4. Heritabilities were estimated by parent±offspring regression of F3 on F2 and F4 on F3. Heritability estimates for C, p, DR and yield based on the F2:F3 regression were 0.10, 0.45, 0.10 and 0.16, respectively. Heritabilities based on F3:F4 regression were 0.20 for C, 0.46 for p, 0.14 for DR and 0.57 for yield. These results reveal that none of the yield-model traits had larger heritability than yield and that selection for these traits in segregating bulk populations is difficult.

Item Type: Article
Uncontrolled Keywords: Peanut; Heritability; Arachis hypogaea; Selection; Groundnut; Breeding
Subjects: Mandate crops > Groundnut
Depositing User: Library ICRISAT
Date Deposited: 28 Dec 2011 05:02
Last Modified: 14 Sep 2013 12:23
URI: http://oar.icrisat.org/id/eprint/5100
Official URL: http://dx.doi.org/10.1016/S0378-4290(98)00083-5
Acknowledgement: The authors thank anonymous reviewers for their many valuable suggestions.
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